摘要
该文介绍了数据挖掘、关联规则相关概念,分析了经典的挖掘布尔关联规则频繁项集的算法-Apriori算法,阐述了关联规则的生成过程,并通过实例进行验证。针对Apriori算法的缺陷进行了分析并列举了几种算法优化方法。
This article describes the conception of data mining and association rules, Analyzes apriori algorithm,It ’s the classic al-gorithm in frequent itemsets mining base on boolean association rules, Describes the generation process of association rules and verified by examples. Analysis of the defects of apriori algorithm and several improved algorithms.
作者
刘晓慧
LIU Xiao-hui (Shenyang Institute of Engineering, Sh enyang 110136, China)
出处
《电脑知识与技术》
2014年第6期3721-3723,共3页
Computer Knowledge and Technology